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Harshini Ramaswamy

dblp:318/3109 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-5552-4579ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 50% User interface design and tools · 50%
Artificial intelligence
1 paper
Trustworthy machine learning · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › health communication
clinical communication
0.812024
Designing Communication Feedback Systems To Reduce Healthcare Providers' Implicit Biases In Patient Encounters · CHI 2024
User interface design and tools
feedback systems
0.812024
Designing Communication Feedback Systems To Reduce Healthcare Providers' Implicit Biases In Patient Encounters · CHI 2024

Methods — techniques the papers use, named apart from their topics

semi-structured interviews · 1.5design critique · 1.5
YearPublicationVenuePosition
2024 Designing Communication Feedback Systems To Reduce Healthcare Providers' Implicit Biases In Patient Encounters
abstract
Healthcare providers' implicit bias, based on patients' physical characteristics and perceived identities, negatively impacts healthcare access, care quality, and outcomes. Feedback tools are needed to help providers identify and learn from their biases. To incorporate providers' perspectives on the most effective ways to present such feedback, we conducted semi-structured design critique sessions with 24 primary care providers. We found that providers seek feedback designed with transparent metrics indicating the quality of their communication with a patient and trends in communication patterns across visits. Based on these metrics and trends, providers want this feedback presented in a dashboard paired with actionable, personalized tips about how to improve their communication behaviors. Our study provides new insights for interactive systems to help mitigate the impact of implicit biases in patient-provider communication. New systems that build upon these insights could support providers in making healthcare more equitable, particularly for patients from marginalized communities.
Emily Bascom, Reggie Casanova-Perez, Kelly Tobar, Manas Satish Bedmutha, Harshini Ramaswamy, Wanda Pratt, Janice Sabin, Brian R. Wood, Nadir Weibel, Andrea L. Hartzler
CHI5
2021 Toward Patient-Centered Informatics Solutions: The Role of Intersectionality
Emily Bascom, Reggie Casanova-Perez, Harshini Ramaswamy, Deepthi Mohanraj, Janice Sabin, Wanda Pratt, Andrea L. Hartzler
AMIA3